{
 "cells": [
  {
   "attachments": {},
   "cell_type": "markdown",
   "id": "2dd8d305",
   "metadata": {},
   "source": [
    "## 用GC-ResNet训练Cifar10\n",
    "For this tutorial, we will use the CIFAR10 dataset. It has the classes: ‘airplane’, ‘automobile’, ‘bird’, ‘cat’, ‘deer’, ‘dog’, ‘frog’, ‘horse’, ‘ship’, ‘truck’. The images in CIFAR-10 are of size 3x32x32, i.e. 3-channel color images of 32x32 pixels in size."
   ]
  },
  {
   "attachments": {
    "cifar10.png": {
     "image/png": "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"
    }
   },
   "cell_type": "markdown",
   "id": "c156b5b8",
   "metadata": {},
   "source": [
    "![cifar10.png](attachment:cifar10.png)"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "id": "a24c11f5",
   "metadata": {},
   "source": [
    "## Training an image classifier\n",
    "We will do the following steps in order:\n",
    "- Load and normalize the CIFAR10 training and test datasets using torchvision\n",
    "- Define a Convolutional Neural Network\n",
    "- Define a loss function\n",
    "- Train the network on the training data\n",
    "- Test the network on the test data"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "id": "012c73d1",
   "metadata": {},
   "source": [
    "## 1. Load and normalize CIFAR10\n",
    "Using torchvision, it's extremely easy to load CIFAR10."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "5a172e1e",
   "metadata": {},
   "outputs": [],
   "source": [
    "import torch\n",
    "import torchvision\n",
    "import torchvision.transforms as transforms\n",
    "import pandas as pd\n",
    "import os"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "id": "098bde91",
   "metadata": {},
   "source": [
    "The output of torchvision datasets are PILImage images of range [0, 1]. We transform them to Tensors of normalized range [-1, 1]."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "d5d2bc77",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Files already downloaded and verified\n",
      "Files already downloaded and verified\n"
     ]
    }
   ],
   "source": [
    "transform = transforms.Compose(\n",
    "    [transforms.ToTensor(),\n",
    "     transforms.Normalize((0.5, 0.5, 0.5), (0.5, 0.5, 0.5))])\n",
    "\n",
    "batch_size = 4\n",
    "\n",
    "trainset = torchvision.datasets.CIFAR10(root='./data', train=True,\n",
    "                                        download=True, transform=transform)\n",
    "trainloader = torch.utils.data.DataLoader(trainset, batch_size=batch_size,\n",
    "                                          shuffle=True, num_workers=2)\n",
    "\n",
    "testset = torchvision.datasets.CIFAR10(root='./data', train=False,\n",
    "                                       download=True, transform=transform)\n",
    "testloader = torch.utils.data.DataLoader(testset, batch_size=batch_size,\n",
    "                                         shuffle=False, num_workers=2)\n",
    "\n",
    "classes = ('plane', 'car', 'bird', 'cat',\n",
    "           'deer', 'dog', 'frog', 'horse', 'ship', 'truck')"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "id": "f48a3130",
   "metadata": {},
   "source": [
    "Let us show some of the training images, for fun."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "cda6c2f3",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "frog  ship  cat   cat  \n"
     ]
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "\n",
    "# functions to show an image\n",
    "\n",
    "\n",
    "def imshow(img):\n",
    "    img = img / 2 + 0.5     # unnormalize\n",
    "    npimg = img.numpy()\n",
    "    plt.imshow(np.transpose(npimg, (1, 2, 0)))\n",
    "    plt.show()\n",
    "\n",
    "\n",
    "# get some random training images\n",
    "dataiter = iter(trainloader)\n",
    "images, labels = dataiter.next()\n",
    "\n",
    "# show images\n",
    "imshow(torchvision.utils.make_grid(images))\n",
    "# print labels\n",
    "print(' '.join(f'{classes[labels[j]]:5s}' for j in range(batch_size)))"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "id": "a687d74c",
   "metadata": {},
   "source": [
    "## 2. Define a SE-ResNet\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "242a1ec2",
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "import torch.nn as nn\n",
    "import torch.nn.functional as F\n",
    "\n",
    "# N = (W − F + 2P )/S+1\n",
    "class GCLayer(nn.Module):\n",
    "    def __init__(self, in_channels, scale = 16):\n",
    "        super(GCLayer, self).__init__()\n",
    "        self.in_channels = in_channels\n",
    "        self.out_channels = self.in_channels//scale\n",
    "\n",
    "        self.conv1 = nn.Conv2d(self.in_channels, 1, 1)\n",
    "        self.sm = nn.Softmax(dim=1)\n",
    "\n",
    "        self.transform = nn.Sequential(\n",
    "            nn.Conv2d(self.in_channels, self.out_channels, 1),\n",
    "            nn.LayerNorm([self.out_channels, 1, 1]),\n",
    "            nn.ReLU(),\n",
    "            nn.Conv2d(self.out_channels, self.in_channels, 1),\n",
    "        )\n",
    "\n",
    "    def forward(self, x):\n",
    "        b, c, h, w = x.size()\n",
    "        out=self.conv1(x)\n",
    "        out=out.view(b,1,-1)#[b, 1, H, W]\n",
    "        out=out.permute(0,2,1)#[b, 1, H*W]\n",
    "        out=out.view(b,-1,1)#[b, H*W, 1]\n",
    "        out=out.contiguous()\n",
    "        out=self.sm(out)\n",
    "        x2 = x.view(b, c, h*w)# [b, c, h*w]\n",
    "        out = torch.matmul(x2, out)\n",
    "        out = out.view(b, c, 1, 1).contiguous()\n",
    "        out = self.transform(out)\n",
    "        return x+out\n",
    "\n",
    "        \n",
    "class ResNetBasicBlock(nn.Module):\n",
    "    def __init__(self,in_channels,out_channels,stride):\n",
    "        super(ResNetBasicBlock,self).__init__()\n",
    "        self.conv1 = nn.Conv2d(in_channels, out_channels, kernel_size=3, stride=stride, padding=1)\n",
    "        self.bn1 = nn.BatchNorm2d(out_channels)\n",
    "        self.conv2 = nn.Conv2d(out_channels, out_channels, kernel_size=3, stride=stride, padding=1)\n",
    "        self.bn2 = nn.BatchNorm2d(out_channels)\n",
    "        self.gc=GCLayer(out_channels,16)\n",
    "    \n",
    "    def forward(self,x):\n",
    "        output = self.conv1(x)\n",
    "        output = self.bn1(output)\n",
    "        output = F.relu(output)\n",
    "        output = self.conv2(output)\n",
    "        output = self.bn2(output)\n",
    "        # gc\n",
    "        output=self.gc(output)\n",
    "        return output\n",
    "\n",
    "    \n",
    "class ResNetDownSampleBlock(nn.Module):\n",
    "    def __init__(self, in_channels, out_channels, stride):\n",
    "        super(ResNetDownSampleBlock, self).__init__()\n",
    "        self.downsample=nn.Sequential(\n",
    "            nn.Conv2d(in_channels, out_channels, kernel_size=1, stride=stride, padding=0),\n",
    "            nn.BatchNorm2d(out_channels)\n",
    "        )\n",
    "        self.conv1 = nn.Conv2d(in_channels, out_channels, kernel_size=3, stride=stride, padding=1)\n",
    "        self.bn1 = nn.BatchNorm2d(out_channels)\n",
    "        self.conv2 = nn.Conv2d(out_channels, out_channels, kernel_size=3, stride=1, padding=1)\n",
    "        self.bn2 = nn.BatchNorm2d(out_channels)\n",
    "        \n",
    "    \n",
    "    def forward(self,x):\n",
    "        output = self.conv1(x)\n",
    "        output = self.bn1(output)\n",
    "        output = F.relu(output)\n",
    "        output = self.conv1(x)\n",
    "        output = self.bn1(output)\n",
    "        x_downsample = self.downsample(x)\n",
    "        output = F.relu(x_downsample+output)\n",
    "        return output\n",
    "    \n",
    "    \n",
    "class GCResNet(nn.Module):\n",
    "    def __init__(self,num_classes=10):\n",
    "        super(GCResNet, self).__init__()\n",
    "        self.inputLayer=nn.Sequential(\n",
    "            nn.Conv2d(3,64,kernel_size=7,stride=2,padding=3,bias=False),\n",
    "            nn.BatchNorm2d(64),\n",
    "            nn.ReLU(inplace=True),\n",
    "            nn.MaxPool2d(kernel_size=3,stride=2,padding=1)\n",
    "        )\n",
    "        \n",
    "        # the 4 layers of resnet18\n",
    "        self.layer1 = nn.Sequential(ResNetBasicBlock(64, 64, 1),\n",
    "                                    ResNetBasicBlock(64, 64, 1))\n",
    "        self.layer2 = nn.Sequential(ResNetDownSampleBlock(64, 128, 2),\n",
    "                                    ResNetBasicBlock(128, 128, 1))\n",
    "        self.layer3 = nn.Sequential(ResNetDownSampleBlock(128, 256, 2),\n",
    "                                    ResNetBasicBlock(256, 256, 1))\n",
    "        self.layer4 = nn.Sequential(ResNetDownSampleBlock(256, 512, 2),\n",
    "                                    ResNetBasicBlock(512, 512, 1))\n",
    "\n",
    "        \n",
    "        self.avgpool=nn.AdaptiveAvgPool2d((1,1))\n",
    "        self.fc=nn.Linear(512,num_classes)\n",
    "\n",
    "    def forward(self, x):\n",
    "        out = self.inputLayer(x)\n",
    "        out = self.layer1(out)\n",
    "        out = self.layer2(out)\n",
    "        out = self.layer3(out)\n",
    "        out = self.layer4(out)\n",
    "        out = self.avgpool(out)\n",
    "        out = out.reshape(x.shape[0], -1)\n",
    "        out = self.fc(out)\n",
    "\n",
    "        return out\n",
    "\n",
    "\n",
    "net = GCResNet()"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "id": "1d063ad9",
   "metadata": {},
   "source": [
    "## 3. Define a Loss function and optimizer\n",
    "Let’s use a Classification Cross-Entropy loss and SGD with momentum."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "a9329e77",
   "metadata": {},
   "outputs": [],
   "source": [
    "import torch.optim as optim\n",
    "\n",
    "criterion = nn.CrossEntropyLoss()\n",
    "optimizer = optim.Adam(net.parameters(), lr=1e-3)"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "id": "524e94a9",
   "metadata": {},
   "source": [
    "## 4. Train the network\n",
    "This is when things start to get interesting. We simply have to loop over our data iterator, and feed the inputs to the network and optimize."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "2b62e5ef",
   "metadata": {},
   "outputs": [],
   "source": [
    "lossv, accv = [], []\n",
    "num_epochs=10\n",
    "print_freq=100"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "fbc0c5df",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch [1/10], 100, Loss: 2.7234\n",
      "Epoch [1/10], 200, Loss: 2.4485\n",
      "Epoch [1/10], 300, Loss: 2.4241\n",
      "Epoch [1/10], 400, Loss: 2.4635\n",
      "Epoch [1/10], 500, Loss: 2.4674\n",
      "Epoch [1/10], 600, Loss: 2.3745\n",
      "Epoch [1/10], 700, Loss: 2.3579\n",
      "Epoch [1/10], 800, Loss: 2.3114\n",
      "Epoch [1/10], 900, Loss: 2.2420\n",
      "Epoch [1/10], 1000, Loss: 2.2788\n",
      "Epoch [1/10], 1100, Loss: 2.2965\n",
      "Epoch [1/10], 1200, Loss: 2.2476\n",
      "Epoch [1/10], 1300, Loss: 2.2667\n",
      "Epoch [1/10], 1400, Loss: 2.3307\n",
      "Epoch [1/10], 1500, Loss: 2.2778\n",
      "Epoch [1/10], 1600, Loss: 2.2568\n",
      "Epoch [1/10], 1700, Loss: 2.2392\n",
      "Epoch [1/10], 1800, Loss: 2.2735\n",
      "Epoch [1/10], 1900, Loss: 2.3083\n",
      "Epoch [1/10], 2000, Loss: 2.2709\n"
     ]
    }
   ],
   "source": [
    "\n",
    "for epoch in range(num_epochs):\n",
    "    running_loss = 0.0\n",
    "    running_corrects = 0\n",
    "    total_samples = 0\n",
    "    for i, data in enumerate(trainloader, 0):\n",
    "        # 获取输入数据和标签\n",
    "        inputs, labels = data\n",
    "\n",
    "        # 将梯度清零\n",
    "        optimizer.zero_grad()\n",
    "\n",
    "        # 前向传播、反向传播和优化\n",
    "        outputs = net(inputs)\n",
    "        loss = criterion(outputs, labels)\n",
    "        loss.backward()\n",
    "        optimizer.step()\n",
    "\n",
    "        # 统计损失和准确率\n",
    "        running_loss += loss.item()\n",
    "        _, preds = torch.max(outputs, 1)\n",
    "        running_corrects += torch.sum(preds == labels.data)\n",
    "        total_samples += labels.size(0)\n",
    "\n",
    "        # 打印和记录统计结果\n",
    "        if i % print_freq == print_freq - 1:\n",
    "            print('Epoch [%d/%d], %d, Loss: %.4f'\n",
    "                  % (epoch+1, num_epochs, i+1, running_loss/print_freq))\n",
    "            running_loss = 0.0\n",
    "\n",
    "    # 本轮训练结束，计算并记录 loss 和 accuracy\n",
    "    epoch_loss = running_loss / (len(trainloader)% print_freq)\n",
    "    epoch_acc = running_corrects.double() / total_samples\n",
    "    lossv.append(epoch_loss)\n",
    "    accv.append(epoch_acc)\n",
    "    print('Epoch [%d/%d], Training Loss: %.4f, Training Accuracy: %.4f'\n",
    "          % (epoch+1, num_epochs, epoch_loss, epoch_acc))\n",
    "          \n",
    "print('Finished Training')\n"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "id": "ecf62cce",
   "metadata": {},
   "source": [
    "Let’s quickly save our trained model:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "9d94a16d",
   "metadata": {},
   "outputs": [],
   "source": [
    "PATH = './gcresnet.pth'\n",
    "torch.save(net.state_dict(), PATH)"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "id": "b0b89af0",
   "metadata": {},
   "source": [
    "## 5. Test the network on the test data\n",
    "We have trained the network for 2 passes over the training dataset. But we need to check if the network has learnt anything at all.\n",
    "\n",
    "We will check this by predicting the class label that the neural network outputs, and checking it against the ground-truth. If the prediction is correct, we add the sample to the list of correct predictions.\n",
    "\n",
    "Okay, first step. Let us display an image from the test set to get familiar."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "4c60ea6a",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "torch.Size([4, 3, 32, 32])\n"
     ]
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "GroundTruth:  cat   ship  ship  plane\n"
     ]
    }
   ],
   "source": [
    "dataiter = iter(testloader)\n",
    "images, labels = dataiter.next()\n",
    "print(images.shape)\n",
    "# print images\n",
    "imshow(torchvision.utils.make_grid(images))\n",
    "print('GroundTruth: ', ' '.join(f'{classes[labels[j]]:5s}' for j in range(4)))"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "id": "169fd5bf",
   "metadata": {},
   "source": [
    "Next, let’s load back in our saved model (note: saving and re-loading the model wasn’t necessary here, we only did it to illustrate how to do so):"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "060fcabe",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<All keys matched successfully>"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "net = GCResNet()\n",
    "net.load_state_dict(torch.load(PATH))"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "id": "90659075",
   "metadata": {},
   "source": [
    "Okay, now let us see what the neural network thinks these examples above are:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "df77dd20",
   "metadata": {},
   "outputs": [],
   "source": [
    "outputs = net(images)"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "id": "59deedfc",
   "metadata": {},
   "source": [
    "The outputs are energies for the 10 classes. The higher the energy for a class, the more the network thinks that the image is of the particular class. So, let’s get the index of the highest energy:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "f8c2a278",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Predicted:  cat   ship  ship  plane\n"
     ]
    }
   ],
   "source": [
    "_, predicted = torch.max(outputs, 1)\n",
    "\n",
    "print('Predicted: ', ' '.join(f'{classes[predicted[j]]:5s}'\n",
    "                              for j in range(4)))"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "id": "1ffc709f",
   "metadata": {},
   "source": [
    "The results seem pretty good.\n",
    "\n",
    "Let us look at how the network performs on the whole dataset."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "04d65f2b",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Accuracy of the network on the 10000 test images: 72 %\n"
     ]
    }
   ],
   "source": [
    "correct = 0\n",
    "total = 0\n",
    "# since we're not training, we don't need to calculate the gradients for our outputs\n",
    "with torch.no_grad():\n",
    "    for data in testloader:\n",
    "        images, labels = data\n",
    "        # calculate outputs by running images through the network\n",
    "        outputs = net(images)\n",
    "        # the class with the highest energy is what we choose as prediction\n",
    "        _, predicted = torch.max(outputs.data, 1)\n",
    "        total += labels.size(0)\n",
    "        correct += (predicted == labels).sum().item()\n",
    "\n",
    "print(f'Accuracy of the network on the 10000 test images: {100 * correct // total} %')"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "id": "4b3b0257",
   "metadata": {},
   "source": [
    "That looks way better than chance, which is 10% accuracy (randomly picking a class out of 10 classes). Seems like the network learnt something.\n",
    "\n",
    "Hmmm, what are the classes that performed well, and the classes that did not perform well:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "4acc743a",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Accuracy for class: plane is 74.5 %\n",
      "Accuracy for class: car   is 82.3 %\n",
      "Accuracy for class: bird  is 60.5 %\n",
      "Accuracy for class: cat   is 58.5 %\n",
      "Accuracy for class: deer  is 68.2 %\n",
      "Accuracy for class: dog   is 60.4 %\n",
      "Accuracy for class: frog  is 73.7 %\n",
      "Accuracy for class: horse is 82.2 %\n",
      "Accuracy for class: ship  is 86.1 %\n",
      "Accuracy for class: truck is 80.9 %\n"
     ]
    }
   ],
   "source": [
    "# prepare to count predictions for each class\n",
    "correct_pred = {classname: 0 for classname in classes}\n",
    "total_pred = {classname: 0 for classname in classes}\n",
    "\n",
    "# again no gradients needed\n",
    "with torch.no_grad():\n",
    "    for data in testloader:\n",
    "        images, labels = data\n",
    "        outputs = net(images)\n",
    "        _, predictions = torch.max(outputs, 1)\n",
    "        # collect the correct predictions for each class\n",
    "        for label, prediction in zip(labels, predictions):\n",
    "            if label == prediction:\n",
    "                correct_pred[classes[label]] += 1\n",
    "            total_pred[classes[label]] += 1\n",
    "\n",
    "\n",
    "# print accuracy for each class\n",
    "for classname, correct_count in correct_pred.items():\n",
    "    accuracy = 100 * float(correct_count) / total_pred[classname]\n",
    "    print(f'Accuracy for class: {classname:5s} is {accuracy:.1f} %')"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "id": "ef8218dd",
   "metadata": {},
   "source": [
    "12\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "68f25834",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "         0         1         2         3         4         5         6  \\\n",
      "0  1.45638  1.196607  1.028973  0.957417  0.920868  0.849996  0.738515   \n",
      "1  0.39736  0.552220  0.621840  0.663640  0.694840  0.717320  0.741660   \n",
      "\n",
      "          7         8         9  \n",
      "0  0.705874  0.666397  0.568793  \n",
      "1  0.763480  0.784240  0.797620  \n",
      "          0         1         2         3         4         5         6  \\\n",
      "0  1.441631  1.232318  1.145450  1.068158  1.033250  1.007477  0.911074   \n",
      "1  0.364540  0.523600  0.580020  0.614880  0.639880  0.663920  0.679140   \n",
      "2  1.391373  1.169526  1.022026  0.917921  0.859111  0.789011  0.739294   \n",
      "3  0.458720  0.572560  0.630960  0.667180  0.703260  0.728540  0.750920   \n",
      "4  1.424812  1.213113  1.088714  0.946097  0.929220  0.852362  0.794385   \n",
      "5  0.380980  0.546540  0.614260  0.649840  0.676900  0.698300  0.714860   \n",
      "\n",
      "          7         8         9  \n",
      "0  0.905723  0.852877  0.870320  \n",
      "1  0.692140  0.707600  0.715360  \n",
      "2  0.674903  0.645368  0.608877  \n",
      "3  0.773820  0.791060  0.811080  \n",
      "4  0.762446  0.742033  0.715184  \n",
      "5  0.733040  0.741100  0.755900  \n"
     ]
    }
   ],
   "source": [
    "#将训练结果存储到csv文件中\n",
    "file_name='./result.csv'\n",
    "arr=np.array([lossv,accv])\n",
    "new_data=pd.DataFrame(arr)\n",
    "print(new_data)\n",
    "if os.path.getsize(file_name)>0:\n",
    "    result_data = pd.read_csv(file_name,skip_blank_lines=False,header=None)\n",
    "    print(result_data)\n",
    "    updated_data=pd.concat([result_data,new_data],axis=0,ignore_index=True)\n",
    "    # print(updated_data)\n",
    "    updated_data.to_csv(file_name,index=False,header=False)\n",
    "else:\n",
    "    new_data.to_csv(file_name,index=False,header=False)\n",
    "    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "d1ebda41",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "SEResNet(\n",
       "  (inputLayer): Sequential(\n",
       "    (0): Conv2d(3, 64, kernel_size=(7, 7), stride=(2, 2), padding=(3, 3), bias=False)\n",
       "    (1): BatchNorm2d(64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
       "    (2): ReLU(inplace=True)\n",
       "    (3): MaxPool2d(kernel_size=3, stride=2, padding=1, dilation=1, ceil_mode=False)\n",
       "  )\n",
       "  (layer1): Sequential(\n",
       "    (0): ResNetBasicBlock(\n",
       "      (conv1): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))\n",
       "      (bn1): BatchNorm2d(64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
       "      (conv2): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))\n",
       "      (bn2): BatchNorm2d(64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
       "      (se): SELayer(\n",
       "        (squeeze): AdaptiveAvgPool2d(output_size=(1, 1))\n",
       "        (compress): Conv2d(64, 4, kernel_size=(1, 1), stride=(1, 1))\n",
       "        (excitation): Conv2d(4, 64, kernel_size=(1, 1), stride=(1, 1))\n",
       "      )\n",
       "    )\n",
       "    (1): ResNetBasicBlock(\n",
       "      (conv1): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))\n",
       "      (bn1): BatchNorm2d(64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
       "      (conv2): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))\n",
       "      (bn2): BatchNorm2d(64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
       "      (se): SELayer(\n",
       "        (squeeze): AdaptiveAvgPool2d(output_size=(1, 1))\n",
       "        (compress): Conv2d(64, 4, kernel_size=(1, 1), stride=(1, 1))\n",
       "        (excitation): Conv2d(4, 64, kernel_size=(1, 1), stride=(1, 1))\n",
       "      )\n",
       "    )\n",
       "  )\n",
       "  (layer2): Sequential(\n",
       "    (0): ResNetDownSampleBlock(\n",
       "      (downsample): Sequential(\n",
       "        (0): Conv2d(64, 128, kernel_size=(1, 1), stride=(2, 2))\n",
       "        (1): BatchNorm2d(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
       "      )\n",
       "      (conv1): Conv2d(64, 128, kernel_size=(3, 3), stride=(2, 2), padding=(1, 1))\n",
       "      (bn1): BatchNorm2d(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
       "      (conv2): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))\n",
       "      (bn2): BatchNorm2d(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
       "    )\n",
       "    (1): ResNetBasicBlock(\n",
       "      (conv1): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))\n",
       "      (bn1): BatchNorm2d(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
       "      (conv2): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))\n",
       "      (bn2): BatchNorm2d(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
       "      (se): SELayer(\n",
       "        (squeeze): AdaptiveAvgPool2d(output_size=(1, 1))\n",
       "        (compress): Conv2d(128, 8, kernel_size=(1, 1), stride=(1, 1))\n",
       "        (excitation): Conv2d(8, 128, kernel_size=(1, 1), stride=(1, 1))\n",
       "      )\n",
       "    )\n",
       "  )\n",
       "  (layer3): Sequential(\n",
       "    (0): ResNetDownSampleBlock(\n",
       "      (downsample): Sequential(\n",
       "        (0): Conv2d(128, 256, kernel_size=(1, 1), stride=(2, 2))\n",
       "        (1): BatchNorm2d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
       "      )\n",
       "      (conv1): Conv2d(128, 256, kernel_size=(3, 3), stride=(2, 2), padding=(1, 1))\n",
       "      (bn1): BatchNorm2d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
       "      (conv2): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))\n",
       "      (bn2): BatchNorm2d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
       "    )\n",
       "    (1): ResNetBasicBlock(\n",
       "      (conv1): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))\n",
       "      (bn1): BatchNorm2d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
       "      (conv2): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))\n",
       "      (bn2): BatchNorm2d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
       "      (se): SELayer(\n",
       "        (squeeze): AdaptiveAvgPool2d(output_size=(1, 1))\n",
       "        (compress): Conv2d(256, 16, kernel_size=(1, 1), stride=(1, 1))\n",
       "        (excitation): Conv2d(16, 256, kernel_size=(1, 1), stride=(1, 1))\n",
       "      )\n",
       "    )\n",
       "  )\n",
       "  (layer4): Sequential(\n",
       "    (0): ResNetDownSampleBlock(\n",
       "      (downsample): Sequential(\n",
       "        (0): Conv2d(256, 512, kernel_size=(1, 1), stride=(2, 2))\n",
       "        (1): BatchNorm2d(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
       "      )\n",
       "      (conv1): Conv2d(256, 512, kernel_size=(3, 3), stride=(2, 2), padding=(1, 1))\n",
       "      (bn1): BatchNorm2d(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
       "      (conv2): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))\n",
       "      (bn2): BatchNorm2d(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
       "    )\n",
       "    (1): ResNetBasicBlock(\n",
       "      (conv1): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))\n",
       "      (bn1): BatchNorm2d(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
       "      (conv2): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))\n",
       "      (bn2): BatchNorm2d(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
       "      (se): SELayer(\n",
       "        (squeeze): AdaptiveAvgPool2d(output_size=(1, 1))\n",
       "        (compress): Conv2d(512, 32, kernel_size=(1, 1), stride=(1, 1))\n",
       "        (excitation): Conv2d(32, 512, kernel_size=(1, 1), stride=(1, 1))\n",
       "      )\n",
       "    )\n",
       "  )\n",
       "  (avgpool): AdaptiveAvgPool2d(output_size=(1, 1))\n",
       "  (fc): Linear(in_features=512, out_features=10, bias=True)\n",
       ")"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "net"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "c0821d56",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.10"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}
